Backend Software Developer Jobs at Apple with Visa Sponsorship
Backend Software Developer jobs at Apple sit at the intersection of consumer hardware and large-scale distributed systems, covering everything from cloud infrastructure to on-device services. Apple has a consistent track record of sponsoring work visas across multiple categories for engineers in this function, making it a realistic target for international candidates.
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Get Access To All JobsINTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
The AI and Machine Learning team is looking for Sr Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.
DESCRIPTION
We are looking for a skilled Python Backend Engineer to join our development team.
In this role, you will be responsible for building and maintaining the server-side logic.
You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application.
Our ideal candidate must have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is an added plus.
You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
You have worked closely with project managers, UI/UX designers, and other cross-functional stakeholders to deliver high quality work on-time.
You are well-versed in GenAI tools and agentic development, with hands-on experience building or integrating LLM-powered workflows, AI agents, and modern AI-assisted development practices.
Responsibilities
- Design and develop scalable, high-performance backend systems and APIs using Python frameworks such as FastAPI, Django, or Flask.
- Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
- Collaborate with front-end developers, product managers, and cross-functional stakeholders to translate business requirements into robust technical solutions.
- Architect and maintain data pipelines, microservices, and cloud-native applications supporting ML training lifecycle and data engineering workflows.
- Implement and enforce software development best practices including code reviews, automated testing, continuous integration, and agile methodologies.
- Evaluate and integrate third-party web services, LLM APIs, and GenAI frameworks (e.g. LangChain, LlamaIndex, OpenAI) to extend platform capabilities.
- Monitor, debug, and optimize backend systems for reliability, scalability, and performance in production environments.
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science or related field.
10+ years of extensive backend development experience, with solid foundational programming skills (algorithms, data structures, OOP, etc) and experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.
Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great.
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.
In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
PREFERRED QUALIFICATIONS
Experience in Data Engineering & ML domain & training lifecycle.
Experience with large-scale data processing, distributed systems, microservices, various caching strategies, and performance optimization.
Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions.
Experience with cloud platforms like AWS or GCP.
Experience building and productionizing GenAI applications, including LLM integration, prompt engineering, RAG pipelines, and agentic workflows using frameworks such as LangChain or similar tools.
Master or Ph.D. in a related field.
Previous experience in a high-growth tech company or similar environment.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
The AI and Machine Learning team is looking for Sr Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.
DESCRIPTION
We are looking for a skilled Python Backend Engineer to join our development team.
In this role, you will be responsible for building and maintaining the server-side logic.
You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application.
Our ideal candidate must have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is an added plus.
You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
You have worked closely with project managers, UI/UX designers, and other cross-functional stakeholders to deliver high quality work on-time.
You are well-versed in GenAI tools and agentic development, with hands-on experience building or integrating LLM-powered workflows, AI agents, and modern AI-assisted development practices.
Responsibilities
- Design and develop scalable, high-performance backend systems and APIs using Python frameworks such as FastAPI, Django, or Flask.
- Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
- Collaborate with front-end developers, product managers, and cross-functional stakeholders to translate business requirements into robust technical solutions.
- Architect and maintain data pipelines, microservices, and cloud-native applications supporting ML training lifecycle and data engineering workflows.
- Implement and enforce software development best practices including code reviews, automated testing, continuous integration, and agile methodologies.
- Evaluate and integrate third-party web services, LLM APIs, and GenAI frameworks (e.g. LangChain, LlamaIndex, OpenAI) to extend platform capabilities.
- Monitor, debug, and optimize backend systems for reliability, scalability, and performance in production environments.
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science or related field.
10+ years of extensive backend development experience, with solid foundational programming skills (algorithms, data structures, OOP, etc) and experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.
Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great.
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.
In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
PREFERRED QUALIFICATIONS
Experience in Data Engineering & ML domain & training lifecycle.
Experience with large-scale data processing, distributed systems, microservices, various caching strategies, and performance optimization.
Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions.
Experience with cloud platforms like AWS or GCP.
Experience building and productionizing GenAI applications, including LLM integration, prompt engineering, RAG pipelines, and agentic workflows using frameworks such as LangChain or similar tools.
Master or Ph.D. in a related field.
Previous experience in a high-growth tech company or similar environment.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all Backend Software Developer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Backend Software Developer Jobs at Apple.
Get Access To All JobsTips for Finding Backend Software Developer Jobs at Apple
Tailor your system design experience to Apple
Apple's backend teams build infrastructure that serves hundreds of millions of devices simultaneously. Showcasing distributed systems work, low-latency API design, or on-device sync protocols signals direct relevance to the roles they actually hire for.
Clarify your visa category before applying
Apple sponsors H-1B, E-3, TN, and F-1 OPT among others, and each has different filing windows and eligibility rules. Knowing which category applies to you lets you time applications around H-1B lottery registration in March or E-3 consular processing.
Use Migrate Mate to target open roles strategically
Apple posts backend roles across multiple teams and locations at any given time. Use Migrate Mate to filter specifically for Backend Software Developer positions at Apple that align with your visa type and experience level.
Align your degree field to the specialty occupation standard
USCIS requires that your degree field directly relates to the job duties. For backend roles at Apple, a degree in computer science, software engineering, or a closely related technical discipline is the clearest path to satisfying that specialty occupation requirement.
Negotiate your start date around your OPT or status timeline
If you're on F-1 OPT, your work authorization end date affects when Apple can bring you on board and how quickly they need to file. Raise your visa timeline with the recruiter before the offer stage, not after.
Prepare for Apple's LCA wage compliance early
Apple must file a Labor Condition Application with the DOL certifying your offered wage meets the prevailing wage for your role and location. Verify the prevailing wage for your specific Apple office location on FLAG.dol.gov before negotiating your offer.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Backend Software Developers?
Yes, Apple sponsors H-1B visas for Backend Software Developer roles. The H-1B is the most common path for non-Australian, non-Canadian engineers at U.S. tech companies. Because it's subject to an annual lottery, Apple typically submits H-1B registrations in March for an October 1 start date. If you're already in the U.S. on OPT, Apple can employ you while your H-1B petition is pending under cap-gap rules.
How do I apply for Backend Software Developer jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. Backend roles are listed under Software and Services engineering. You'll typically go through a recruiter screen, a technical phone interview covering algorithms and system design, and then an on-site or virtual loop with multiple engineers. Migrate Mate also aggregates Apple's backend openings and lets you filter by visa sponsorship type, which helps you identify relevant roles faster.
Which visa types does Apple commonly use for Backend Software Developer roles?
Apple sponsors H-1B and H-1B1 visas for most international backend engineers. Australian citizens can apply via the E-3 visa, which has no lottery and allows consular processing. Canadian and Mexican nationals may qualify for TN visa status. F-1 students can start on OPT or CPT before transitioning. For engineers on a longer path to permanent residence, Apple also pursues EB-2 and EB-3 Green Card sponsorship.
What qualifications does Apple expect for Backend Software Developer roles?
Apple's backend postings consistently require a bachelor's degree or higher in computer science, software engineering, or an equivalent technical field. Hands-on experience with large-scale distributed systems, RESTful or gRPC APIs, and languages like Swift, Python, Go, or Java is expected. Senior roles typically require several years of production backend experience. Familiarity with Apple's ecosystem, such as iCloud architecture or CloudKit patterns, can differentiate your application.
How long does the visa sponsorship process take after receiving an offer from Apple?
Timeline depends on your visa category. E-3 consular processing can move in two to four weeks once your employer files the Labor Condition Application with the DOL. H-1B sponsorship is tied to the October 1 start date unless USCIS approves premium processing, which has a 15 business day adjudication target. TN status for Canadians can be obtained at the border on the day of travel. Apple's immigration team will outline expected timelines specific to your situation after the offer is signed.